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Delay-bounded resource allocation for femtocells exploiting the statistical multiplexing gain.
- Source :
- Journal of Supercomputing; Sep2015, Vol. 71 Issue 9, p3217-3236, 20p
- Publication Year :
- 2015
-
Abstract
- Femtocell is an efficient solution for mobile operators to expand indoor coverage and increase network capacity. In this paper, we study the downlink resource allocation problem of two-tier macrocell-femtocell networks. We first formulate the problem as a Mixed Integer Non-Linear Program (MINLP) which aims to maximize the capacity of clustered femtocell networks subject to hard delay constraints of flows with different priorities. Next, we build $$(\rho (\theta ),\sigma (\theta ))$$ arrival model for the traffics and apply Stochastic Network Calculus (SNC) to transforming the delay constraints into alternative minimum transmission rate requirements, then we propose a resource allocation algorithm called S-SAPCS to solve the MINLP. Simulation results show that the proposed algorithm has near-optimal performance. We also design a scheme based on deterministic network calculus to show that S-SAPCS is able to exploit the statistical multiplexing gain among multiple flows, which improves the throughput significantly. [ABSTRACT FROM AUTHOR]
- Subjects :
- FEMTOCELLS
RESOURCE allocation
OPERATIONS research
PLANNING
CELL phone systems
Subjects
Details
- Language :
- English
- ISSN :
- 09208542
- Volume :
- 71
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Journal of Supercomputing
- Publication Type :
- Academic Journal
- Accession number :
- 109115970
- Full Text :
- https://doi.org/10.1007/s11227-015-1494-9